Trends

Local Extremes

Local Extremes is a data reduction method that preserves the minimum and maximum values within each defined interval. This ensures that sharp peaks or drops are not lost during downsampling—making it ideal for safety-critical monitoring and capturing extreme events.

How It Works:

• The time axis is split into intervals (based on Max Points)
• For each interval, the lowest and highest value are retained
• All other points within that range are discarded

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Industrial Example

Scenario: Monitoring Pressure Surges in Hydraulic Systems

In hydraulic systems, short pressure spikes can indicate valve issues or air in the system. These spikes are brief but critical.

Problem:

• Raw data updates every second
• Without extreme detection, these short spikes may be flattened or missed

Solution:
Using Local Extremes:

• Even short-lived peaks/dips are kept visible
• Operators can spot and react to critical system anomalies
• Good balance of reduction and safety insight